Automated Breast Ultrasound System for Breast Cancer Evaluation: Diagnostic Performance of the Two-View Scan Technique in Women with Small Breasts

被引:16
作者
Kwon, Bo Ra [1 ,2 ]
Chang, Jung Min [1 ]
Kim, Soo Yeon [1 ]
Lee, Su Hyun [1 ]
Kim, Soo-Yeon [1 ]
Lee, So Min [1 ]
Cho, Nariya [1 ]
Moon, Woo Kyung [1 ]
机构
[1] Seoul Natl Univ, Seoul Natl Univ Hosp, Dept Radiol, Coll Med, Seoul, South Korea
[2] Seoul Natl Univ Hosp, Dept Radiol, Gangnam Ctr, Healthcare Syst, Seoul, South Korea
关键词
Breast cancer; Automated breast ultrasound system; Scan technique; Diagnostic performance; Small breasts; HAND-HELD ULTRASOUND; B-MODE ULTRASOUND; VOLUME SCANNER; LESION DETECTION; MAMMOGRAPHY; HHUS; DIFFERENTIATION; RISK; US;
D O I
10.3348/kjr.2019.0275
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective: To comparatively evaluate the scan coverage and diagnostic performance of the two-view scan technique (2-VST) of the automated breast ultrasound system (ABUS) versus the conventional three-view scan technique (3-VST) in women with small breasts. Materials and Methods: Between March 2016 and May 2017, 136 asymptomatic women with small breasts (bra cup size A) suitable for 2-VST were enrolled. Subsequently, 272 breasts were subjected to bilateral whole-breast ultrasound examinations using ABUS and the hand-held ultrasound system (HHUS). During ABUS image acquisition, one breast was scanned with 2-VST, while the other breast was scanned with 3-VST. In each breast, the breast coverage and visibility of the HHUS detected lesions on ABUS were assessed. The sensitivity and specificity of ABUS were compared between 2-VST and 3-VST. Results: Among 136 breasts, eight cases of breast cancer were detected by 2-VST, and 10 cases of breast cancer were detected by 3-VST. The breast coverage was satisfactory in 94.1% and 91.9% of cases under 2-VST and 3-VST, respectively (p = 0.318). All HHUS-detected lesions were visible on the ABUS images regardless of the scan technique. The sensitivities and specificities were similar between 2-VST and 3-VST (100% [8/8] vs. 100% [10/10], and 97.7% [125/128] vs. 95.2% [120/126], respectively), with no significant difference (p > 0.05). Conclusion: 2-VST of ABUS achieved comparable scan coverage and diagnostic performance to that of conventional 3-VST in women with small breasts.
引用
收藏
页码:25 / 32
页数:8
相关论文
共 50 条
  • [31] Evaluation of Diagnostic Performance of Automatic Breast Volume Scanner Compared to Handheld Ultrasound on Different Breast Lesions: A Systematic Review
    Ibraheem, Shahad A.
    Mahmud, Rozi
    Mohamad Saini, Suraini
    Abu Hassan, Hasyma
    Keiteb, Aysar Sabah
    Dirie, Ahmed M.
    DIAGNOSTICS, 2022, 12 (02)
  • [32] Diagnostic performance of abbreviated breast MRI for screening of women with previously treated breast cancer
    Kwon, Mi-ri
    Ko, Eun Young
    Han, Boo-Kyung
    Ko, Eun Sook
    Choi, Ji Soo
    Park, Ko Woon
    MEDICINE, 2020, 99 (16) : E19676
  • [33] Automated Whole-Breast Ultrasound: Advancing the Performance of Breast Cancer Screening
    Kelly, Kevin M.
    Richwald, Gary A.
    SEMINARS IN ULTRASOUND CT AND MRI, 2011, 32 (04) : 273 - 280
  • [34] Diagnostic performance of combined use of automated breast volume scanning & hand-held ultrasound for breast lesions
    Liu, Jialin
    Zhou, Yang
    Wu, Jialing
    Li, Peng
    Liang, Xinyu
    Duan, Haonan
    Wu, Xueqing
    Hou, Xiukun
    Li, Xiaofeng
    INDIAN JOURNAL OF MEDICAL RESEARCH, 2021, 154 (02) : 347 - 354
  • [35] An investigation into why two-view mammography is better than one-view in breast cancer screening
    Hackshaw, AK
    Wald, NJ
    Michell, MJ
    Field, S
    Wilson, ARM
    CLINICAL RADIOLOGY, 2000, 55 (06) : 454 - 458
  • [36] A systematic review and meta-analysis comparing the diagnostic capability of automated breast ultrasound and contrast-enhanced ultrasound in breast cancer
    Zhang, Haoyu
    Hu, Jingyi
    Meng, Rong
    Liu, Fangfang
    Xu, Fan
    Huang, Min
    FRONTIERS IN ONCOLOGY, 2024, 13
  • [37] Inter-rater reliability and double reading analysis of an automated three-dimensional breast ultrasound system: comparison of two independent examiners
    Maier, Anna
    Heil, Joerg
    Lauer, Anna
    Harcos, Aba
    Schaefgen, Benedikt
    von Au, Alexandra
    Spratte, Julia
    Riedel, Fabian
    Rauch, Geraldine
    Hennigs, Andre
    Domschke, Christoph
    Schott, Sarah
    Rom, Joachim
    Schuetz, Florian
    Sohn, Christof
    Golatta, Michael
    ARCHIVES OF GYNECOLOGY AND OBSTETRICS, 2017, 296 (03) : 571 - 582
  • [38] The value of coronal view as a stand-alone assessment in women undergoing automated breast ultrasound
    Schiaffino, Simone
    Gristina, Licia
    Tosto, Simona
    Massone, Elena
    De Giorgis, Sara
    Garlaschi, Alessandro
    Tagliafico, Alberto
    Calabrese, Massimo
    RADIOLOGIA MEDICA, 2021, 126 (02): : 206 - 213
  • [39] Automated Breast Ultrasound Provides Comparable Diagnostic Performance in Opportunistic Screening and Diagnostic Assessment
    Rahmat, Kartini
    Ab Mumin, Nazimah
    Ng, Wei Lin
    Taib, Nur Aishah Mohd
    Chan, Wai Yee
    Hamid, Marlina Tanty Ramli
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2024, 50 (01) : 112 - 118
  • [40] Diagnostic Performance of Artificial Intelligence-Based Computer-Aided Detection Software for Automated Breast Ultrasound
    Kwon, Mi-ri
    Youn, Inyoung
    Lee, Mi Yeon
    Lee, Hyun-Ah
    ACADEMIC RADIOLOGY, 2024, 31 (02) : 480 - 491